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Shop for Deep Learning for Time Series Forecasting: Tutorial and Literature Survey.
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Deep Learning for Time Series Cookbook: Use PyTorch and Python Recipes for Forecasting, Classification, and Anomaly Detection [Book]
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Forecasting Time Series Data with Prophet: Build, Improve, and Optimize Time Series Forecasting Models Using the Advanced Forecasting Tool [Book]
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Forecasting Time Series Data with Facebook Prophet: Build, Improve, and Optimize Time Series Forecasting Models Using the Advanced Forecasting Tool [Book]
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Modern Time Series Forecasting with Python: Explore Industry-Ready Time Series Forecasting Using Modern Machine Learning and Deep Learning [Book]
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Machine Learning for Time Series Forecasting with Python [Book]
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Practical Time Series Forecasting with R: A Hands-on Guide [Book]
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SAS for Forecasting Time Series, Third Edition [Book]
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Hands-on Time Series Analysis with R: Perform Time Series Analysis and Forecasting Using R [Book]
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Introduction to Time Series Analysis [Book]
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Practical Time Series Analysis [Book]
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The Analysis of Time Series: An Introduction with R [Book]
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State-of-the-Art Deep Learning Models in TensorFlow: Modern Machine Learning in the Google Colab Ecosystem [Book]
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Time Series Analysis and Its Applications: With R Examples [Book]
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Deep Learning with Theano [Book]
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Deep Learning with TensorFlow and Keras: Build and Deploy Supervised, Unsupervised, Deep, and Reinforcement Learning Models [Book]
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Applied Deep Learning with TensorFlow 2: Learn to Implement Advanced Deep Learning Techniques with Python [Book]
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Enhancing Deep Learning with Bayesian Inference: Create More Powerful, Robust Deep Learning Systems with Bayesian Deep Learning in Python [Book]
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Beginning Deep Learning with TensorFlow: Work with Keras, MNIST Data Sets, and Advanced Neural Networks [Book]
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Deep Learning with JavaScript: Neural Networks in TensorFlow.js [Book]
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Applied Deep Learning with Keras: Solve Complex Real-Life Problems with the Simplicity of Keras [Book]
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